Steganography Embedding Cost Learning With Generative Multi-Adversarial Network-Reference-Cited by-同舟云学术

Steganography Embedding Cost Learning With Generative Multi-Adversarial Network

Published:2024 Issue: Volume:19 Page:15-29
ISSN:1556-6013
Container-title:IEEE Transactions on Information Forensics and Security
language:
Short-container-title:IEEE Trans.Inform.Forensic Secur.

Author:

Huang Dongxia¹^ORCID,Luo Weiqi¹^ORCID,Liu Minglin²^ORCID,Tang Weixuan³^ORCID,Huang Jiwu⁴^ORCID

Affiliation:

1. Guangdong Key Laboratory of Information Security Technology and the School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China

2. School of Cyber Science and Engineering, Zhengzhou University, Zhengzhou, China

3. Institute of Artificial Intelligence and Blockchain, Guangzhou University, Guangzhou, China

4. Guangdong Key Laboratory of Intelligent Information Processing and the Shenzhen Key Laboratory of Media Security, Shenzhen University, Shenzhen, China

Funder

NSFC

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Safety, Risk, Reliability and Quality

Link

http://xplorestaging.ieee.org/ielx7/10206/10319981/10265249.pdf?arnumber=10265249

Reference46 articles.

1. Structural Design of Convolutional Neural Networks for Steganalysis

2. DRB-GAN: A Dynamic ResBlock Generative Adversarial Network for Artistic Style Transfer

3. Gradient-based learning applied to document recognition